This book presents recent advances in Knowledge discovery in databases
(KDD) with a focus on the areas of market basket database, time-stamped
databases and multiple related databases. Various interesting and
intelligent algorithms are reported on data mining tasks. A large number
of association measures are presented, which play significant roles in
decision support applications. This book presents, discusses and
contrasts new developments in mining time-stamped data, time-based data
analyses, the identification of temporal patterns, the mining of
multiple related databases, as well as local patterns analysis.